Abstract
The spreading out of Internet of Things (IoT) facilitates with new wireless communication Technologies. To have reliable communication for long duration, low power wide area can be aimed at sensor nodes. These days, LoRa has become a recognizable preference for IoT based solutions. In this paper LoRa network performance is analyzed. A hybrid technique is proposed to overcome the scalability, reliability and computational speed issues in LoRa network. In the proposed hybrid technique, a lightweight scheduling technique is used to address scalability and reliability issues and then pruning algorithm is also incorporated to enhance the computational speed of LoRa network for IoT applications. Further, LoRa network for IoT applications is analyzed using LoRaWAN NS-3 module and the parameters packet error ratio (PER), network throughput and fairness for improved reliability and scalability are illustrated. Simulation results are obtained for multiple gateways scenarios. The analysis presents that the LoRa network has addressed scalability and reliability issues using lightweight scheduling technique and computational speed is also enhanced using pruning algorithm. Therefore, the hybrid technique illustrated for LoRa network for IoT applications is in good agreement.
Highlights
To accomplish enhanced horizontal integration among Internet of Things (IoT) service, data aggregation, smart management and protocol adaptation services are very much essential
This paper aims to address scalability and reliability issues along with improved throughput and fairness by incorporating lightweight scheduling technique in LoRa networks
To address scalability and reliability issues a light-weight scheduling technique is implemented at Gateway as well as at end nodes
Summary
Abstract—The spreading out of Internet of Things (IoT) facilitates with new wireless communication Technologies. To have reliable communication for long duration, low power wide area can be aimed at sensor nodes. These days, LoRa has become a recognizable preference for IoT based solutions. A hybrid technique is proposed to overcome the scalability, reliability and computational speed issues in LoRa network. In the proposed hybrid technique, a lightweight scheduling technique is used to address scalability and reliability issues and pruning algorithm is incorporated to enhance the computational speed of LoRa network for IoT applications. The analysis presents that the LoRa network has addressed scalability and reliability issues using lightweight scheduling technique and computational speed is enhanced using pruning algorithm.
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